Tongyang Li
15 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (4) π Academic Marathon (6) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (18)
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Conference Polyglot
(4)
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Academic Marathon
(6)
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Grand Slam
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Keyword Champion
(7)
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Trend Setter
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Unstoppable
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Century Club
(15)
Conferences
ICML (5)
NIPS (5)
AAAI (3)
ICLR (2)
Top co-authors
Keywords
quantum algorithm
(7)
sublinear algorithm
(3)
query complexity
(3)
multi-armed bandit
(2)
regret bound
(2)
regret minimization
(2)
quantum computing
(2)
k-means clustering
(1)
convex optimization
(1)
nonconvex optimization
(1)
continuous optimization
(1)
nash equilibrium
(1)
simulated annealing
(1)
gradient descent
(1)
adversarial training
(1)
non-convex optimization
(1)
best arm identification
(1)
quantum machine learning
(1)
k-median clustering
(1)
kernel ridge regression
(1)
Papers
Robustness of Quantum Algorithms for Nonconvex Optimization
ICLR 2025
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
ICML 2024
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
ICLR 2024
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
ICML 2024
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets
AAAI 2023
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
NIPS 2023
Near-Optimal Quantum Coreset Construction Algorithms for Clustering
ICML 2023
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
ICML 2023
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
NIPS 2022
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
NIPS 2022
Sublinear Classical and Quantum Algorithms for General Matrix Games
AAAI 2021
Escape saddle points by a simple gradient-descent based algorithm
NIPS 2021
Quantum Exploration Algorithms for Multi-Armed Bandits
AAAI 2021
Sublinear quantum algorithms for training linear and kernel-based classifiers
ICML 2019
Quantum Wasserstein Generative Adversarial Networks
NIPS 2019